Object-oriented programming (OOP) is a popular design paradigm in which data and behaviors are encapsulated in such a way that they can be manipulated together. This third edition of Python 3 Object-Oriented Programming fully explains classes, data encapsulation, and exceptions with an emphasis on when you can use each principle to develop well-designed software.

What You Will Learn

Implement objects in Python by creating classes and defining methods

Grasp common concurrency techniques and pitfalls in Python 3

Extend class functionality using inheritance

Understand when to use object-oriented features, and more importantly when not to use them

Discover what design patterns are and why they are different in Python

Uncover the simplicity of unit testing and why it's so important in Python

Explore concurrent object-oriented programming

By the end of the book, you will have thoroughly learned object-oriented principles using Python syntax and be able to create robust and reliable programs confidently.